Development of a Machine-Learning Model of Short-Term Prognostic Prediction for Spinal Stenosis Surgery in Korean Patients

Development of a Machine-Learning Model of Short-Term Prognostic Prediction for Spinal Stenosis Surgery in Korean Patients

Background: In this study, based on machine-learning technology, we aim to develop a predictive model of the short-term prognosis of Korean patients who received spinal stenosis surgery. Methods: Using the data obtained from 112 patients with spinal stenosis admitted at N hospital from February to N...

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Bibliographic Details
Main Authors: Kyeong-Rae Kim, Hyeun Sung Kim, Jae-Eun Park, Seung-Yeon Kang, So-Young Lim, Il-Tae Jang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Brain Sciences
Subjects:
machine learning
prediction
pilot study
spinal surgery
Korean
Online Access:https://www.mdpi.com/2076-3425/10/11/764

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